
Abstract Summary While de novo assembly graphs contain assembled contigs (nodes), the connections between those contigs (edges) are difficult for users to access. Bandage (a B ioinformatics A pplication for N avigating D e novo A ssembly G raphs E asily) is a tool for visualising assembly graphs with connections. Users can zoom in to specific areas of the graph and interact with it by moving nodes, adding labels, changing colours and extracting sequences. BLAST searches can be performed within the Bandage GUI and the hits are displayed as highlights in the graph. By displaying connections between contigs, Bandage presents new possibilities for analysing de novo assemblies that are not possible through investigation of contigs alone. Availability and implementation Source code and binaries are freely available at https://github.com/rrwick/Bandage . Bandage is implemented in C++ and supported on Linux, OS X and Windows. Contact rrwick@gmail.com Supplementary information A full feature list and screenshots are available at Bioinformatics online and http://rrwick.github.io/Bandage .
Genome, Human, Chromosome Mapping, Computational Biology, Genomics, Sequence Analysis, DNA, Applications Notes, 004, Computer Graphics, Humans, Genome, Bacterial, Software
Genome, Human, Chromosome Mapping, Computational Biology, Genomics, Sequence Analysis, DNA, Applications Notes, 004, Computer Graphics, Humans, Genome, Bacterial, Software
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2K | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.01% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
